Highly scalable, extremely fast, easy-to-use embeddable graph database

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Ladybug

Ladybug is an embedded graph database built for query speed and scalability. Ladybug is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:

Flexible Property Graph Data Model and Cypher query language
Embeddable, serverless integration into applications
Native full text search and vector index
Columnar disk-based storage
Columnar sparse row-based (CSR) adjacency list/join indices
Vectorized and factorized query processor
Novel and very fast join algorithms
Multi-core query parallelism
Serializable ACID transactions
Wasm (WebAssembly) bindings for fast, secure execution in the browser

Ladybug is being developed by LadybugDB Developers and is available under a permissive license. So try it out and help us make it better! We welcome your feedback and feature requests.

The database was formerly known as Kuzu.

Installation

Language	Installation
Python	`pip install ladybug`
NodeJS	`npm install @ladybugdb/core`
Rust	`cargo add lbug`
Go	`go get github.com/LadybugDB/go-ladybug`
Swift	lbug-swift
Java	Maven Central
C/C++	precompiled binaries
CLI	precompiled binaries

To learn more about installation, see our Installation page.

Getting Started

Refer to our Getting Started page for your first example.

Build from Source

You can build from source using the instructions provided in the developer guide.

Contributing

We welcome contributions to Ladybug. If you are interested in contributing to Ladybug, please read our Contributing Guide.

License

By contributing to Ladybug, you agree that your contributions will be licensed under the MIT License.

Contact

You can contact us at social@ladybugdb.com or join our Discord community.

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0.18.0.dev20260616 pre-release

Jun 16, 2026

0.18.0.dev20260613 pre-release

Jun 13, 2026

0.18.0.dev20260612 pre-release

Jun 12, 2026

0.18.0.dev20260611 pre-release

Jun 11, 2026

0.18.0.dev20260610 pre-release

Jun 10, 2026

0.17.1

Jun 2, 2026

0.17.0

May 28, 2026

0.17.0.dev20260601 pre-release

Jun 1, 2026

0.17.0.dev20260531 pre-release

May 31, 2026

0.17.0.dev20260530 pre-release

May 30, 2026

0.17.0.dev20260529 pre-release

May 29, 2026

0.17.0.dev20260528 pre-release

May 28, 2026

0.17.0.dev20260527 pre-release

May 27, 2026

0.17.0.dev20260526 pre-release

May 26, 2026

This version

0.17.0.dev20260522 pre-release

May 22, 2026

0.17.0.dev20260520 pre-release

May 20, 2026

0.17.0.dev20260519 pre-release

May 19, 2026

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May 2, 2026

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May 12, 2026

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May 11, 2026

0.16.0

Apr 29, 2026

0.15.4

Apr 27, 2026

0.15.3

Apr 10, 2026

0.0.2

May 30, 2014

0.0.1

May 24, 2014

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Algorithm	Hash digest
SHA256	`236b334a49c08ced7ab637b54505dc9ec8a8ad76e904dee4921f4416503a40ee`
MD5	`aa89574202a307f9bc60af74c4c9bfb1`
BLAKE2b-256	`9b5511c632923f01293ea710d65e0793cfdcd68317a2ad37d5faad16326b89fd`

Algorithm	Hash digest
SHA256	`c52972e7e66e930a24099bcaf29dd639dbd3ca48c01ac30f18cabb568581da41`
MD5	`912e61fe2391441c94bb806e757bcf28`
BLAKE2b-256	`ed483d21539419a735676862d0c4ee32c3d7c4dc29527cbc9a3e7758beed7a0e`

Algorithm	Hash digest
SHA256	`61afb07266db062a817cc80acf6e3c6c0771349070f8eae799546be55135fbc3`
MD5	`c2b2409e6b317f2594afb623da9d630c`
BLAKE2b-256	`d7cc7bf006534ef41133a33538753cc9d0a272a4f443f4aba26cb1306829b674`